CN101430882B - Method and apparatus for restraining wind noise - Google Patents

Method and apparatus for restraining wind noise Download PDF

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Publication number
CN101430882B
CN101430882B CN2008102404790A CN200810240479A CN101430882B CN 101430882 B CN101430882 B CN 101430882B CN 2008102404790 A CN2008102404790 A CN 2008102404790A CN 200810240479 A CN200810240479 A CN 200810240479A CN 101430882 B CN101430882 B CN 101430882B
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voice signal
way voice
normalized crosscorrelation
crosscorrelation value
wind noise
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CN101430882A (en
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张晨
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Wuxi Zhonggan Microelectronics Co Ltd
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Wuxi Vimicro Corp
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208—Noise filtering
    • G10L21/0216—Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02165—Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal
    • G—PHYSICS
    • G11—INFORMATION STORAGE
    • G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
    • G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
    • G11B20/24—Signal processing not specific to the method of recording or reproducing; Circuits therefor for reducing noise

Abstract

The invention discloses a method for suppressing wind noise and a device thereof, which are used for accurately suppressing the wind noise, thus ensuring that a better recording effect is achieved. The method for suppressing the wind noise comprises the following steps: performing cross-correlation operation on two channels of sound signals simultaneously acquired under a same scene to obtain a normalized cross-correlation value on each frequency band; and performing gain control on the two channels of sound signals by the normalized cross-correlation value on each frequency band to suppress the wind noise in the two channels of sound signals.

Description

A kind of method and device that suppresses wind noise
Technical field
The present invention relates to the Audio Signal Processing technical field, relate in particular to a kind of method and device that suppresses wind noise.
Background technology
The greatest problem that runs into when out of doors sound being recorded is exactly the interference of wind, because there is bigger wind noise in the interference of wind in causing recording.Particularly under the strong wind weather environment, the microphone (Mic) that is used to gather sound will be recorded down strong sound of the wind, almost can the target sound of wanting to record be flooded.
Wind noise is that the gas of fast moving forms swirling eddy around the Mic and the noise that produces.In general, wind noise mainly concentrates on low frequency part, and is as shown in Figure 1, concentrated most energy below the frequency at 1 KHz (Khz) usually, reaches maximum at 100-200Hz.
Existing sound collection equipment collects wind noise out of doors easily; The user generally adopts hurricane globe to cover Mic, weakens the influence of wind noise, but for equipment such as miniature camera (DV) or recording pens; Mic does not generally have the protection of hurricane globe, receives the interference of wind noise more easily.
In addition; Can also take simple high-pass filtering technology to eliminate wind noise in the prior art; But this kind method suppresses the frequency range at whole wind noise place, if the target sound signal that existence need be recorded in this frequency range; Then this target sound signal also will together be eliminated, thereby reduce recording quality.
In sum, prior art can't suppress wind noise selectively, thereby can't guarantee to reach recording effect preferably.
Summary of the invention
The embodiment of the invention provides a kind of method and device that suppresses wind noise, in order to suppressing wind noise exactly, thereby guarantees to reach preferable recording effect.
A kind of method that suppresses wind noise that the embodiment of the invention provides comprises:
Two-way voice signal under Same Scene, gathering simultaneously carries out computing cross-correlation, obtains the normalized crosscorrelation value on each frequency band;
According to the residing special frequency of wind noise the two-way voice signal of under Same Scene, gathering is simultaneously carried out bandpass filtering treatment;
To carrying out computing cross-correlation, obtain the overall normalized crosscorrelation value of this two-way voice signal through the two-way voice signal after the said bandpass filtering treatment;
Utilize said overall normalized crosscorrelation value to the normalized crosscorrelation value weighting on said each frequency band, obtain the normalized crosscorrelation value after the weighting;
Utilize the normalized crosscorrelation value after this weighting that this two-way voice signal is carried out gain control, suppress the wind noise in this two-way voice signal.
A kind of device that suppresses wind noise that the embodiment of the invention provides comprises:
The FFT module is used for the two-way voice signal of under Same Scene, gathering is simultaneously carried out Fourier transform;
Cross-correlation module is used for the two-way voice signal of under Same Scene, gathering is simultaneously carried out computing cross-correlation, obtains the overall normalized crosscorrelation value of this two-way voice signal;
Wind noise suppresses module, comprising:
The computing cross-correlation unit is used for obtaining the normalized crosscorrelation value on each frequency band to carrying out computing cross-correlation through the two-way voice signal after the said Fourier transform;
Weighted units is used to utilize said overall normalized crosscorrelation value to the normalized crosscorrelation value weighting on said each frequency band, obtains the normalized crosscorrelation value after the weighting;
Gain control unit is used to utilize the normalized crosscorrelation value after this weighting that this two-way voice signal is carried out gain control, suppresses the wind noise in this two-way voice signal.
The embodiment of the invention through the two-way voice signal of under Same Scene, gathering is simultaneously carried out computing cross-correlation, obtains the normalized crosscorrelation value on each frequency band; Because this normalized crosscorrelation value has reflected the signal on each frequency band of this two-way voice signal and has had the probability of wind noise; Therefore utilize the normalized crosscorrelation value on each frequency band that this two-way voice signal is carried out gain control; Can realize suppressing the wind noise in this two-way voice signal selectively, guarantee that recording effect can not reduce.
Description of drawings
Fig. 1 is the frequency characteristic synoptic diagram of wind noise;
The apparatus structure synoptic diagram of the inhibition wind noise that Fig. 2 provides for the embodiment of the invention;
Fig. 3 is the frequency characteristic synoptic diagram of BPF.;
The wind noise that Fig. 4 provides for the embodiment of the invention suppresses the structural representation of module;
The method flow synoptic diagram of the inhibition wind noise that Fig. 5 provides for the embodiment of the invention.
Embodiment
The embodiment of the invention provides a kind of method and device that suppresses wind noise, only suppresses to wind noise, avoids suppressing the target sound signal, thereby suppresses wind noise exactly, guarantees to reach preferable recording effect.
The embodiment of the invention is under Same Scene; Gather the two-way voice signal simultaneously; And this two-way voice signal carried out cross-correlation analysis in the most concentrated a part of low frequency frequency range of wind noise; Obtain the overall probability that wind noise exists, through Fourier transform (FFT) the two-way voice signal of importing is transformed into frequency domain from time domain simultaneously, relatively the correlativity of this two paths of signals on each frequency band (bin).Because the target sound of two paths of signals on identical frequency band of gathering simultaneously under the Same Scene is very similar, so correlativity is strong, and wind noise does not almost have correlativity; The embodiment of the invention is utilized this characteristics, gives the strong bigger gain of frequency band of correlativity, and gives correlativity the weak less gain of frequency band; At last through inverse Fourier transform (IFFT); Signal is transformed into time domain from frequency domain, thereby plays the inhibition wind noise, and keep the constant effect of voice quality.
The embodiment of the invention is that example describes to gather the two-way voice signal simultaneously, certainly, also can gather the more voice signal of multichannel simultaneously, and every two paths of signals is carried out correlation analysis, can suppress wind noise targetedly equally.The embodiment of the invention is that voice signal is that example describes with the target sound signal.
Below in conjunction with accompanying drawing the embodiment of the invention is described.
Referring to Fig. 2, a kind of device that suppresses wind noise that the embodiment of the invention provides comprises: Mic 11, Mic12, bandpass filtering (BPF) module 13, cross-correlation module 14, analysis window module 15, FFT module 16, analysis window module 17, FFT module 18, wind noise suppress module 19, IFFT module 20, comprehensive window module 21, IFFT module 22 and comprehensive window module 23.
At first, the Mic 11 under the Same Scene collects the two-way voice signal simultaneously with Mic 12, and this two paths of signals is all sent to bandpass filtering modules block 13, and this two paths of signals is sent to analysis window module 15 and analysis window module 17 respectively.
Because the most concentrated position of wind noise energy is about 100-200Hz, and wind noise do not have correlativity, and near the voice signal this frequency range is because frequency is very low, so correlativity is the strongest.Therefore, the frequency characteristic of the bandpass filtering modules block 13 of the embodiment of the invention is as shown in Figure 3, and bandpass filtering modules block 13 is carried out bandpass filtering treatment according to this frequency characteristic to this two paths of signals, to obtain the two paths of signals about 100-200Hz.The embodiment of the invention selects the voice signal of this frequency range to carry out cross-correlation analysis through cross-correlation module 14, can effectively tell the current voice signal that collects and whether have wind noise.
The concrete principle of work of cross-correlation module 14 is following:
Suppose to be respectively x1 and x2, x1 and x2 carried out computing cross-correlation through the two paths of signals after bandpass filtering modules block 13 processing:
Corrx 1 x 2 = Σ k = 0 N - 1 x 1 ( k ) x 2 ( k )
Corrx 1 = Σ k = 0 N - 1 x 1 ( k ) x 1 ( k )
Corrx 2 = Σ k = 0 N - 1 x 2 ( k ) x 2 ( k )
Then, the normalized crosscorrelation value of x1 and x2 is:
corrx 1 x 2 = Corrx 1 x 2 Corrx 1 * Corrx 2
The value of corrx1x2 is the number between 0 to 1, has reflected the correlativity of two paths of signals, if the value of corrx1x2 approaches 1, then explanation does not have wind noise; If the value of corrx1x2 approaches 0, very strong wind noise is described.
The overall judgement parameter whether cross-correlation module 14 exists the corrx1x2 that obtains as a wind noise is exported to wind noise and is suppressed module 19.
Analysis window module 15 is carried out weighting to signal respectively with analysis window module 17, and FFT module 16 is carried out the FFT processing to the signal after the weighting respectively with FFT module 18, obtains the two-way voice signal on the frequency domain, and sends to wind noise inhibition module 19 respectively.
Preferably, referring to Fig. 4, wind noise suppresses module 19 and comprises:
Computing cross-correlation unit 191 is used for carrying out computing cross-correlation through the two-way voice signal after the Fourier transform, obtains the normalized crosscorrelation value corrLR (i) on zero each frequency band in the frequency range of a KHz of this two-way voice signal.
Weighted units 192 is used to utilize overall normalized crosscorrelation value corrx1x2 to normalized crosscorrelation value corrLR (i) weighting on each frequency band, obtain after the weighting normalized crosscorrelation value corrLR ' (i).
Computation of mean values unit 193 is used to calculate this two-way voice signal in zero average in the frequency range of a KHz.
Gain control unit 194 utilizes the normalized crosscorrelation value corrLR ' after the weighting (i) this two-way voice signal to be carried out gain control in zero average in the frequency range of a KHz.
Concrete principle of work is following:
Suppose that from the real part of i bin of the signal of Mic 11 input be Re_L (i), imaginary part is Im_L (i); From the real part of i bin of the signal of Mic 12 input is Re_R (i), and imaginary part is Im_R (i).
Because the relevant conjugate multiplication that is equivalent to frequency domain of time domain, therefore from the cross correlation value of Mic 11 and i bin of the two paths of signals of Mic 12 inputs be respectively:
CorrLR(i)＝Re_L(i)*Re_R(i)+Im_L(i)*Im_R(i)
From the autocorrelation value of the signal of Mic 11 input be:
CorrLL(i)＝Re_L(i)*Re_L(i)+Im_L(i)*Im_L(i)
From the autocorrelation value of the signal of Mic 12 input be:
CorrRR(i)＝Re_R(i)*Re_R(i)+Im_R(i)*Im_R(i)
Then from the normalized crosscorrelation value of Mic 11 and i bin of the two paths of signals of Mic 12 inputs be respectively:
corrLR ( i ) = CorrLR ( i ) CorrLL ( i ) * CorrRR ( i )
Suppose that counting of FFT is N; Sampling rate is 8Khz; Because the embodiment of the invention only is concerned about 1Khz that wind noise mainly exists with interior frequency, so the embodiment of the invention can only calculate the cross correlation value of 1Khz frequency with interior two paths of signals, the i.e. cross correlation value of the bin of i=0～N/8.
There is the judgement of probability with the wind noise in i bin of interior frequency as 1Khz with corrLR (i).
Above-mentioned cross-correlation module 14 has obtained the overall judgement parameter c orrx1x2 whether wind noise exists, and the embodiment of the invention is used the normalized crosscorrelation value of the 1Khz of this this two paths of signals of corrx1x2 weighting with all bin of interior frequency, that is:
corrLR’(i)＝corrLR(i)*corrx1x2
Calculate respectively from two paths of signals the average 1KHz frequency in of Mic 11, that is: with Mic 12 inputs
Re(i)＝(Re_L(i)+Re_R(i))/2
Im(i)＝(Im_L(i)+Im_R(i))/2
The purpose of calculating the average of this two paths of signals in the 1KHz frequency is: 1Khz is very strong with the correlativity of interior voice signal, and wind noise does not have correlativity.Therefore get average and can not impact basically voice signal, the wind noise 6dB that then decayed, thus can improve signal to noise ratio (S/N ratio).
Use corrLR ' (i) weighting 1Khz obtain with the mean value signal of this interior two paths of signals:
Re_out(i)＝Re(i)*corrLR’(i)
Im_out(i)＝Im(i)*corrLR’(i)
For the stronger bin of wind noise, corrLR ' value (i) is lower, so corresponding Re_out (i) is also lower with Im_out (i), that is to say for existence to give less gain than the signal of the frequency band of high wind noise; For the more weak bin of wind noise, corrLR ' value (i) is higher, so corresponding Re_out (i) and Im_out (i) are also higher, that is to say that the signal for the frequency band that has more weak wind noise gives bigger gain.Thereby realized that selectively wind noise suppresses, improved signal to noise ratio (S/N ratio).
(be that real part is Re_out (i) with this signal of handling then; Imaginary part is the signal of Im_out (i)) remove to replace respectively the signal of the 1Khz of input from Mic 11 and Mic 12 with interior identical frequency band, at last complete two paths of signals is sent to IFFT module 20 and IFFT module 22 respectively.IFFT module 20 carries out sending to comprehensive window module 21 and comprehensive window module 23 processing behind the IFFT to signal respectively with IFFT module 22, thereby has obtained the voice signal behind the elimination wind noise.
Referring to Fig. 5, a kind of method that suppresses wind noise that the embodiment of the invention provides comprises step:
S501, the two-way voice signal of under Same Scene, gathering is simultaneously carried out computing cross-correlation, obtain the normalized crosscorrelation value on each frequency band.
S502, utilize the normalized crosscorrelation value on this each frequency band that this two-way voice signal is carried out gain control, suppress the wind noise in this two-way voice signal.
Preferably, also comprise before the step S501: the two-way voice signal of under Same Scene, gathering is simultaneously carried out bandpass filtering treatment according to the residing special frequency of wind noise (zero to a kilohertz range); To carrying out computing cross-correlation, obtain the overall normalized crosscorrelation value corrx1x2 of this two-way voice signal through the two-way voice signal after the bandpass filtering treatment.
Preferably, step S501 comprises: the two-way voice signal under Same Scene, gathering simultaneously carries out Fourier transform; To carrying out computing cross-correlation, obtain the normalized crosscorrelation value corrLR (i) on zero each frequency band in the frequency range of a KHz of this two-way voice signal through the two-way voice signal after the Fourier transform.
Utilize the normalized crosscorrelation value corrx1x2 on said each frequency band that the step that this two-way voice signal carries out gain control is comprised among the step S502: utilize overall normalized crosscorrelation value corrx1x2 to normalized crosscorrelation value corrLR (i) weighting on zero each frequency band in the frequency range of a KHz, obtain after the weighting normalized crosscorrelation value corrLR ' (i); Utilize the normalized crosscorrelation value corrLR ' after this weighting (i) this two-way voice signal to be carried out gain control.
Preferably, utilize the normalized crosscorrelation value corrLR ' after the weighting (i) step that this two-way voice signal carries out gain control to be comprised: calculate zero in the frequency range of a KHz average of this two-way voice signal on each frequency band; Utilize the normalized crosscorrelation value corrLR ' after the weighting (i) average of this two-way voice signal on the identical frequency band to be carried out gain control.
In sum, the embodiment of the invention has proposed a kind of wind noise inhibition scheme that can guarantee the recording quality of voice signal.At first that wind noise is the most concentrated a part of low frequency frequency range is done cross-correlation analysis; Obtain the overall probability that wind noise exists, through FFT original signal is transformed into frequency domain then, the correlativity of two paths of signals on each bin of gathering more simultaneously; Wind noise does not almost have correlativity because the correlativity of voice is strong; Therefore can give the strong bigger gain of subband of correlativity, and the weak less gain of subband of correlativity is transformed into time domain through IFFT with frequency-region signal at last; Thereby reach the purpose that suppresses wind noise, and guarantee that voice quality can not reduce.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.

Claims (8)

1. a method that suppresses wind noise is characterized in that, this method comprises:
Two-way voice signal under Same Scene, gathering simultaneously carries out computing cross-correlation, obtains the normalized crosscorrelation value on each frequency band;
According to the residing special frequency of wind noise the two-way voice signal of under Same Scene, gathering is simultaneously carried out bandpass filtering treatment;
To carrying out computing cross-correlation, obtain the overall normalized crosscorrelation value of this two-way voice signal through the two-way voice signal after the said bandpass filtering treatment;
Utilize said overall normalized crosscorrelation value to the normalized crosscorrelation value weighting on said each frequency band, obtain the normalized crosscorrelation value after the weighting;
Utilize the normalized crosscorrelation value after this weighting that this two-way voice signal is carried out gain control, suppress the wind noise in this two-way voice signal.
2. method according to claim 1 is characterized in that, the two-way voice signal of under Same Scene, gathering is simultaneously carried out computing cross-correlation, and the step that obtains the normalized crosscorrelation value on each frequency band of this two-way voice signal comprises:
Two-way voice signal under Same Scene, gathering simultaneously carries out Fourier transform;
To carrying out computing cross-correlation, obtain the normalized crosscorrelation value on each frequency band of this two-way voice signal through the two-way voice signal after the said Fourier transform.
3. method according to claim 1 and 2 is characterized in that, utilizes the normalized crosscorrelation value after the said weighting that the step that said two-way voice signal carries out gain control is comprised:
Calculating zero in the frequency range of a KHz average of the above two-way voice signal of each frequency band;
Utilize the normalized crosscorrelation value after the said weighting that the average of the above two-way voice signal of identical frequency band is carried out gain control.
4. method according to claim 1 is characterized in that, the normalized crosscorrelation value on said each frequency band is the normalized crosscorrelation value on zero each frequency band in the frequency range of a KHz.
5. a device that suppresses wind noise is characterized in that, this device comprises:
The FFT module is used for the two-way voice signal of under Same Scene, gathering is simultaneously carried out Fourier transform;
Cross-correlation module is used for the two-way voice signal of under Same Scene, gathering is simultaneously carried out computing cross-correlation, obtains the overall normalized crosscorrelation value of this two-way voice signal;
Wind noise suppresses module, comprising:
The computing cross-correlation unit is used for obtaining the normalized crosscorrelation value on each frequency band to carrying out computing cross-correlation through the two-way voice signal after the said Fourier transform;
Weighted units is used to utilize said overall normalized crosscorrelation value to the normalized crosscorrelation value weighting on said each frequency band, obtains the normalized crosscorrelation value after the weighting;
Gain control unit is used to utilize the normalized crosscorrelation value after this weighting that this two-way voice signal is carried out gain control, suppresses the wind noise in this two-way voice signal.
6. device according to claim 5 is characterized in that, this device also comprises:
Bandpass filtering modules block is used for according to the residing special frequency of wind noise the two-way voice signal of under Same Scene, gathering simultaneously being carried out bandpass filtering treatment;
Said cross-correlation module to carrying out computing cross-correlation through the two-way voice signal after the said bandpass filtering treatment, obtains the overall normalized crosscorrelation value of this two-way voice signal.
7. device according to claim 6 is characterized in that, said wind noise suppresses module and also comprises:
The computation of mean values unit, be used to calculate zero in the frequency range of a KHz average of the above two-way voice signal of each frequency band;
Said gain control unit utilizes the normalized crosscorrelation value after the said weighting that the average of the above two-way voice signal of identical frequency band is carried out gain control.
8. according to claim 5,6 or 7 described devices; It is characterized in that; Said computing cross-correlation unit; To through carrying out computing cross-correlation at zero two-way voice signal in the frequency range of a KHz after the said Fourier transform, obtain the normalized crosscorrelation value of this two-way voice signal on zero each frequency band in the frequency range of a KHz.
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